Extracting meaningful health information from large accelerometer datasets

Self hosted web analytics for endurance athletes

AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback.

An AI model used to help with the workout session by keeping track of counts and movement.

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

Pipe your Activity Data from Strava directly into Home Assistant

Analyzing all my Quantified Self data

Example scripts for parsing data exported by popular fitness tracking devices and apps. Created for this article: https://towardsdatascience.com/parsing-fitness-tracker-data-with-python-a59e7dc17418

An AI-powered fitness tracker that uses real-time pose estimation to count reps, monitor form, and provide instant feedback for exercises like squats, push-ups, and bicep curls. Designed for accuracy, motivation, and adaptability

Python 3.x library to access Garmin Connect Health API

Python Software Development Kit (SDK) to process wearable sensor data

A Home assistant custom component to get your fitness information using Google Fitness API.

🏃 Programmable workouts from the comfort of your terminal 🏃

Free Analytics for Strong Data.

Rudra - A smart healthcare assistant robot intended for home and hospital use.

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

A small command line tool to fetch data from Zwift and report on it.

Fitness tracking website and companion to the mobile app of the same name. Has cherrypy and flask front ends, with wsgi support. Implements live tracking. Serves as platform for analytics and automated workout plan generation. An example instantiation is at http://openworkout.cloud

Generates exercise plan and tracks fitness progress

Unconventional Fitness Tracker: For the forgetful Arnold in you.